Anar al contingut
High-Speed Convolution Core Architecture for Privacy-Preserving Neural Networks

High-Speed Convolution Core Architecture for Privacy-Preserving Neural Networks

Due to legal restrictions or restrictions related to companies' internal information policies, businesses often do not trust sensitive information to public cloud providers. One of the mechanisms to ensure the security of sensitive data in clouds is homomorphic encryption. Privacy-preserving ne...

Descripció completa

Guardat en:
Dades bibliogràfiques
Autors principals: Lapina, M. A., Лапина, М. А., Shiriaev, E. M., Ширяев, Е. М., Babenko, M. G., Бабенко, М. Г.
Format: Статья
Idioma:English
Publicat: Pleiades Publishing 2024
Matèries:
Convolutional neural networks
Spatial complexity
Cryptography
Differential privacy
High Speed
Ho-momorphic encryptions
Homomorphic-encryptions
Information policy
Legal restriction
Multiplication algorithms
Scalar multiplication
Privacy preserving
Neural-networks
Convolution
Accés en línia:https://dspace.ncfu.ru/handle/123456789/29339
Etiquetes: Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!

Internet

https://dspace.ncfu.ru/handle/123456789/29339

Ítems similars